1. Lead the development team and continue to expand the RD team. 2. Lead the team to develop group AI products (including: blockchain trading platform, AI recruitment platform). 3. Lead the team in smart factories, intelligent transportation, smart medicine and related AI projects research and development. 4. E-Learning

Responsibilities: 1. All of Microsoft product technical adviser. Support customers and partners. 2. Azure Big data and ML Project/POC technical support. 3. IOT & AI architecture design 4. Training the partners to get data science certification. 5. Helping customer to digital transformation. Achievements: 1. Partners get the data science certification Reach rate 80%. 2. Successfully transfer the traditional BI/Big Data solution to Azure. 3. Product technical adviser to win the case rate 70%.

Responsibilities: 1. Lead the team to perform big data analysis and new technology research. 2. Digital forensics and corporate fraud investigation - Using data analysis and algorithms to help companies detect internal fraud prevention, including: all kinds of LOG parser analysis, R, SPSS, big data analysis and reporting services. 3. Lead the team to analyze the network of public opinion- Assist enterprises in major social media and public opinion to find the relevant news, which can help company reduce losses immediately and adjust their business development. 4. Building the automated analysis platform – Lead the team to build the fraud analysis platform (Using Hadoop, Map Reduce and Big Data Analysis). 5. MI data analysis and provide reports to facilitate decision-making. 6. Azure ML implement. Achievements: 1. Using data analysis and algorithmic technology to help Corning Taiwan to improve the automated process. Total yield increased by 40%. 2. Using data analysis and algorithmic technology to help Corning Taiwan to improve the automated process. Reduce product defect rate of 50%. 3. Using data analysis technology to assist Family Mart planning product placement and sales strategy to enhance the sales rate of 30%. 4. Using Big Data to analyze and build public opinion system to reduce Family Mart business loss by 10% and adjust business development. 5. Successful establishment of MediaTek internal fraud detection system.

Responsibilities: 1. Build a large data warehouse (Teradata, Oracle, MS SQL). 2. Big Data analysis (Aster, MS PDW, SAP, Hadoop, Informatica). 3. BI analysis (Tableau、SAP). 4. ISO 20000 and ISO 27001 certification implement. 5. In charge the BI portal project (SharePoint 2013). 6. The advertising system project management and design architecture. 7. Research new techniques and design prototype. Achievements: 1. Using data analysis technology to build customer divorce analysis platform, which analysis of online mall, store operations and voice line information, it help define the customer life cycle. Reduce the rate of 40%. 2. Successfully build autonomy LBS platform to enhance operational efficiency, which increase 80%. 3. Successfully build internal BI Portal, which provide operational analysis reports.

Responsibilities: 1. Help AM to solve client's technical issue (Including: Microsoft SharePoint Server, Lync Server, Exchange Server and System Center) 2. Building and technical support on Microsoft private cloud (MCloud) and Live@Edu. 3. Lead the POC project. Including: Load test and stress test (using C # to write a program to do the test for the Server and AP) 4. DB migration and sync (using C # and SSIS for MSSQL, Oracle and other heterogeneous database conversion)5. Business intelligence analysis and build the data warehouse (PDW). Achievements: 1. Successfully build Microsoft private cloud (Mcloud) - National Taiwan University hospital and National Taiwan Normal University online Chinese teaching system. 2. Live@Edu lecturer and technical support (Using PowerShell, DNS parsing, SSO and ILM) Post office DB migration (Oracle to MSSQL) 3. In charge the SKFH DB migration and stress test project. 4. In charge the TSMC Business Intelligence analysis project. Increase overall yield by 50%.